Spring 2004 Handbook - Electrical Engineering and Computer ...

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Emphasis on context-free, deterministic context-free and regularlanguages. Prerequisite: EECS 510 or EECS 805 or equivalent.EECS 720 Electromagnetics for Communications and Radar(3). Topics in electromagnetics relevant to wireless communications,optics and fiberoptics, radar and remote sensing. Subjects coveredinclude space waves, guided waves, radiation and antennas, scattering,electromagnetic properties of materials, and optics. Prerequisite:EECS 420 or equivalent.EECS 721 Antennas (3). Gain, Pattern, and Impedance conceptsfor antennas. Linear, loop, helical, and aperture antennas (arrays,reflectors, and lenses). Cylindrical and biconical antenna theory.Prerequisite: EECS 360, EECS 420, or EECS 720. Infrequentlyoffered.EECS 722 Mathematical Logic (3). Propositional Calculus. Firstorder theories and model theory. Elementary arithmetic and Godel’sincompleteness theorems. (Same as MATH 722) Prerequisite:MATH 765 or MATH 791, or equivalent evidence of mathematicalmaturity.EECS 723 Microwave Engineering (3-4). Survey of microwavesystems, techniques, and hardware. Guided-wave theory,microwave network theory, active and passive microwave components.The four-hour version of the course includes a laboratory.Prerequisite: EECS 420.EECS 735 Automated Theorem Proving (3). Computer-basedtheorem-proving methods for selected domains such as planegeometry, symbolic integral calculus, and propositional calculus arereviewed. Mechanical theorem-proving procedures for the first-orderpredicate calculus are studied in depth. Includes resolution, semanticresolution, hyper-resolution, linear resolution, and paramodulation.Applications of these procedures to areas such as proofs of programcorrectness, deductive question answering, problem solving, andprogram synthesis. Prerequisite: EECS 730 and a knowledge ofmathematical logic equivalent to that supplied by EECS 210.Infrequently offered.EECS 740 Digital Image Processing (3). This course gives ahands on introduction to the fundamentals of digital image processing.Topics include: image formation, image transforms, imageenhancement, image restoration, image reconstruction, imagecompression, and image segmentation. Prerequisite: EECS 672 orEECS 744.EECS 741 Computer Vision (3). This course gives a hands-onintroduction to the fundamentals of computer vision. Topics include:image formation, edge detection, image segmentation, line-drawinginterpretation, shape from shading, texture analysis, stereo imaging,motion analysis, shape representation, object recognition. Prerequisite:EECS 672 or EECS 744.EECS 742 Digital Video for Multimedia Systems (3). Anintroduction to digital video for multimedia systems. Topics includebasics of digital video, capture and non-linear editing, video featuredetection (temporal segmentation, motion estimation), content basedvideo classification, video compression techniques and standards(MPEG-1, 2, 4, 7), video streaming, and multimedia applications.Digital video tools and techniques will be utilized in severalprogramming projects. Prerequisite: EECS 740 or equivalent.EECS 744 Digital Signal Processing I (3). Discrete fouriertransforms, design of digital filters, fast fourier transform algorithms,and its application to signal processing, description of DSP chips andintroduction to quantization error. Prerequisite: EECS 360.EECS 745 High Performance Integrated Networks (3).Processing requirements for integrated networks and associatedapplications. Principles of VLSI architectures. Overview of selectednetwork functions, including scrambling and descrambling, synchronization,cell switching, routing, bandwidth shaping and policing,encryption, and decryption. Implementation of network functionsusing high performance special-purpose architectures. Examples ofprocessors for high speed networks. Prerequisite: EECS 546 andEECS 663. Co-requisite: EECS 863.For students admitted Spring 2004EECS 749 Knowledge Based Systems (3). General concepts ofintelligent problem solving, rule-based systems, reasoning underuncertainty, associative networks, model-based reasoning blackboards,object-oriented systems, case-based reasoning, induction, neuralnetworks. Students may not earn credit in both EECS 749 and CE 792.Prerequisite: EECS 649, EECS 730 or equivalent.EECS 750 Operating System (3). An analytical treatment ofthe structures and theoretical foundations of operating systems andrelated systems, and of their design and implementation. Cooperatingand distributed processes, memory and store management strategies,resource sharing and queuing, concurrency control, and systemprotection and security. Other topics such as design methodologies,fault tolerance, languages for distributed programming, and communicationprotocols will also be discussed. Prerequisite: EECS 678 andone of EECS 461, MATH 526, or MATH 627.EECS 752 Concurrent Software Systems (3). Introduction todesign and implementation of concurrent (multi-threaded, parallel, ordistributed) software systems. The course examines problems andsolutions common to all concurrent software, including interference,deadlock, consensus, resource allocation, coordination, global predicateevaluation, ways of expressing concurrency, concurrent I/O, debugging,fault tolerance, and heterogeneity. Prerequisite: EECS 448 and EECS678.EECS 753 Embedded and Real Time Computer Systems (3).This course will cover emerging and proposed techniques and issues inembedded and real time computer systems. Topics will include newparadigms, enabling technologies, and challenges resulting fromemerging application domains. Prerequisite: EECS 645 and EECS678.EECS 755 System Requirements Modeling and Analysis (3).Modern software engineering techniques for modeling and analyzingsoftware systems. Course coverage concentrates on pragmatic, formalmodeling techniques that support predictive analysis.EECS 761 Programming Paradigms (3). An investigation ofalternative programming paradigms and their representative effect onprogramming expressiveness and style. Emphasis is on a comparativeunderstanding of a spectrum of programming paradigms, with somefacility in the use of at least one typical language representative ofeach paradigm studied. The course will review and investigate asappropriate imperative, functional, object-oriented, parallel, andlogical programming paradigms, plus additional paradigms as relevant.Prerequisite: EECS 662 or EECS 807 or equivalent.EECS 762 Programming Language Foundation (3).Relationship between syntactic, static-semantic, and semanticstructures. Attribute grammars as models for static-semanticinformation processing. Survey of formal semantic models, includingoperational, denotational, and axiomatic examples. Related staticsemantic,semantic, and programming language issues. Prerequisite:EECS 662 or EECS 807 or equivalent.EECS 764 Analysis of Algorithms (3). Models of computationsand performance measures; asymptotic analysis of algorithms; basicdesign paradigms including divide-and-conquer, dynamic programming,backtracking, branch-and-bound, greedy method and heuristics;design and analysis of approximation algorithms; lower bound theory;polynomial transformation and the theory of NP-Completeness;additional topics may be selected from arithmetic complexity, graphalgorithms, string matching, and other combinatorial problems.Prerequisite: EECS 660 or EECS 805 or equivalent.EECS 767 Information Retrieval (3). The objective of this courseis to give students a hands on introduction to information retrievalsystems. Classic textual information retrieval systems are studied,followed by presentation of current research in the area. Topicsinclude: file structures, term-weighting schemes, text preprocessing,World Wide Web search engines, multimedia retrieval systems,artificial intelligence applications. Prerequisite: EECS 647 orpermission of instructor.EECS 773 Advanced Graphics (3). Advanced topics in graphics26
and graphics systems. Techniques for scientific visualization andphotorealistic rendering. Ray tracing; radiosity; volumetric rendering;antialiasing; animation. Specialized modeling tech-niques like particlesystems and recursive constructions. Collaborative interaction andvisualization. Prerequisite: EECS 672.EECS 774 Geometric Modeling (3). Introduction to therepresentation, manipulation, and analysis of mathematical models ofphysical objects with applications to mechanical computer-aideddesign and manufacturing (CAD/ CAM). Basic geometric analysistools. Implicit and parametric representations of curves and surfaces.Curve and surface design and display techniques. Curve and surfaceintersections. Solid modelling representations and algorithms. Booleanset operations on solid models and the boundary evaluation algorithm.Geometric modeling system architectures. Project developed in C.Prerequisite: EECS 672.EECS 781 Numerical Analysis I (3). Finite and divideddifferences. Interpolation, numerical differentiation, and integration.Gaussian quadrature. Numerical integration of ordinary differentialequations. Curve fitting. (Same as Math 781). Prerequisite: Math 320and knowledge of a programming language.EECS 782 Numerical Analysis II (3). Direct and interactivemethods for solving systems of linear equations. Numerical solutionof partial differential equations. Numerical determination ofeigenvectors and eigenvalues. Solution of nonlinear equations. (Sameas MATH 782) Prerequisite: EECS 781.EECS 800 Special Topics: ________ (1-5). Advanced courses onspecial topics of current interest in electrical engineering, computerengineering, or computer science given as the need arises. May berepeated for additional credit. Prerequisite: variable.EECS 801 Directed Graduate Readings (1-3). Graduate leveldirected readings on a topic in electrical engineering, computerengineering, or computer science, mutually agreed-on by the studentand instructor. May be repeated for credit on another topic.Prerequisite: Consent of Instructor.EECS 802 EECS Colloquium (.2). A colloquium series featuringspeakers from industry, government, other universities, and researchorganizations on the university campus presenting talks on varioustopics related to electrical engineering, computer engineering, andcomputer science. Course will be graded Satisfactory/Fail. Noprerequisite.EECS 810 Principles of Software Engineering (3) Practicalconcepts of software engineering with a focus on management issuesas well as formalism; modern software development process models;project management, requirements analysis, specification, design,implementation, testing, maintenance; metrics and planning. Thiscourse is intended for EECS graduate students (focusing in softwareengineering or computer science) as well as others with a stronginterest in software engineering methodologies. The course will beproject-intensive and will serve as a preparation for other graduatesoftware engineering courses. Prerequisite: EECS 448 and 560 orequivalent. Not open to students who have taken EECS 848.EECS 811 Software Project Management (3) Process managementin the context of software development; building productiveteams; measuring performance; management issues in the creation,development, and maintenance of software. Various estimatetechniques, planning, risk analysis, project administration andconfiguration management; fundamentals of software processmodeling and definition; process improvement, frameworks forquality software, process properties and measurements, capabilitymaturity evaluation, validation and verification, applications of TQMand SQA to software process improvement. Prerequisite: EECS 810.EECS 812 Software Requirements Engineering (3) Objectives,processes, and activities of requirements engineering and requirementsmanagement; characteristics of good requirements; types ofrequirements; managing changing requirements; languages, notationsand methodologies; formal and semiformal methods of presentingand validating the requirements; requirements standards; traceabilityissues. Prerequisite: EECS 810.EECS 814 Software Quality Assurance (3) Software qualityengineering as an integral facet of development, from requirementsthrough deliver, maintenance, and process improvement; how tocarry out inspections, manual and automated static analysis techniques,fundamental concepts in software testing, verification,validation, test case selection, testing strategies such as black-boxtesting, white-box testing, integration testing, regression testing,systems testing, acceptance testing, design for testability, fundamentalconcepts in software integration, configuration management, modelsfor quality assurance; documentation; industry and governmentstandards for quality. Prerequisite: EECS 810.EECS 816 Object-Oriented Software Development (3) Abstractdata types, objects and classes, class associations, modeling withobjects, domain modeling, use case modeling, iteractive and incrementaldevelopment, object-oriented analysis and design, components,frameworks, UML and Unified Process, reusability, designpatterns, object management, and CORBA. Prerequisite: EECS 810EECS 818 Software Architecture (3) Design methodologies,software architectural qualities; architectural styles; architecture anddesign; common architectural patterns and reuse; domain specificarchitectures; tradeoff analysis, software architecture case studies,architectural styles; the analysis of an architecture. Prerequisite:EECS 810 and EECS 816.EECS 821 Adaptive Antenna Arrays for Communications andRadar (3). Description and analysis of antenna arrays that havedynamically adjustable patterns. Topics include phased arrayantennas, digital beamforming in element and beam space; adaptivebeamforming algorithms; error effects; relationship between multipleaccess schemes such as FDMA, TDMA, DCMA, and SDMA; mobilesatellite, indoor, and radar applications; and current antenna,transceiver, and DSP technology. Prerequisite: EECS 420, EECS461, and EECS 744 or equivalent.EECS 823 Microwave Remote Sensing (3). Description andanalysis of basic microwave remote sensing systems including radars andradiometers as well as the scattering and emission properties of naturaltargets. Topics covered include plane wave propagation, antennas,radiometers, atmospheric effects, radars, calibrated systems, and remotesensing applications. Prerequisite: EECS 420 and EECS 622.EECS 825 Radar Systems (3). Description and analysisof radars of various types. Resolution in angle, range, and speed.Ambiguities. Return from point and area targets. Detection in thepresence of noise and fading. Tracking and MTI. Amplitudemeasurement. Imaging radars. Prerequisite: EECS 360, 420, andEECS 461.EECS 828 Advanced Fiber-Optic Communications (3). Anadvanced course in fiber-optic communications. The course willfocus on various important aspects and applications of modern fiberopticcommunications, ranging from photonic devices to systems andnetworks. Topics include: advanced semiconductor laser devices,external optical modulators, optical amplifiers, optical fibernonlinearities and their impact in WDM and TDM optical systems,polarization effect in fiber-optic systems, optical receivers and highspeedoptical system performance evaluation, optical soliton systems,lightwave analog video transmission, SONET & ATM opticalnetworking and advanced multi-access lightwave networks.Prerequisite: EECS 628 or equivalent.EECS 830 Advanced Artificial Intelligence (3).A detailed examination of computer programs and techniques thatmanifest intelligent behavior, with examples drawn from currentliterature. The nature of intelligence and intelligent behavior.Development of, improvement to, extension of, and generalizationfrom artificially intelligent systems, such as theorem-provers, patternrecognizers, language analyzers, problem-solvers, question answerers,decision-makers, planners, and learners. Prerequisite: EECS 730.EECS 833 Neural Networks and Fuzzy Systems (3).Fundamental theory of adaptive systems, Introduction to Artificial27 For students admitted Spring 2004
Page 1 and 2: UNDERGRADUATEHANDBOOKElectrical Eng
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